DocumentCode :
3741967
Title :
Comparison of nonlinear identification techniques on a benchmark pH neutralization process
Author :
Juan C. Gomez
Author_Institution :
Laboratory for System Dynamics and Signal Processing, FCEIA, Universidad Nacional de Rosario, and CIFASIS-CONICET, Argentina
fYear :
2015
Firstpage :
153
Lastpage :
158
Abstract :
In this paper, several state-of-the-art nonlinear identification methods are compared on a benchmark pH neutralization process. Methods based on orthonormal bases for block-oriented nonlinear models, as well as methods based on support vector regression techniques are considered. The advantages and drawbacks of the different methods, and the properties of the estimated models are analyzed.
Keywords :
"Decision support systems","Erbium"
Publisher :
ieee
Conference_Titel :
Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
Type :
conf
DOI :
10.1109/Chilecon.2015.7400368
Filename :
7400368
Link To Document :
بازگشت